The influence of push and pull motivations on tourist behavior at the full moon party in Thailand
Vol 8, Issue 12, 2024
VIEWS - 33 (Abstract) 13 (PDF)
Abstract
This study was designed to study the push and pull motivational factors affecting the foreign backpackers travel behavior towards Full Moon Party in Koh Phangan District, Surat Thani Province. In the sample 300 foreign backpackers aged 18 or older were included, who came to attend the Full Moon Party solely for vacation purposes and not for any work or income generating activities. The study was executed using a structured questionnaire. The statistical tools for the analysis of the data included, but were not limited to, frequency counts, computed percentages, means, standard deviations, chi-square analysis, one- way ANOVA, and Pearson correlation at the 0.05 level of significance. The research demonstrated that with respect to the first-time foreign visitors in Thailand to attend the Full Moon Party, then, they have habitually stayed at the resorts and the bungalows. It was a general observation that such visitors preferred to seek out information on the Internet, social websites as well as tourism websites. Their activities included horse riding, general activities, seeing natural sights including waterfalls and mountains, going for mountain hikes, participating in physically hard and risky outdoors activities, and nighttime activities. Tourists are sufficiently motivated to visit Thailand for its various appealing attributes, as revealed by the analysis. Furthermore, 10 motivational components were identified with 24 variables; Push Motivation Components: (1) Escape and Novelty Seeking, (2) Feel Free, (3) Open the World, and (4) Social Need. Pull Motivation Components: (1) Party, (2) Unique, (3) Only for Myself, (4) Sea Lover, (5) Diversity, and (6) Loner. Demographic characteristics for example gender, age, marital status, education level, occupation, and place of residence were also studied. The push factors, as well as the pull factors of travel, were found to co-relate with the behavior of female foreign backpackers on the other hand where both were significant.
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Barry, K., & Iaquinto, B. L. (2023). Hostel frictions: backpackers living under lockdown. Mobilities, 18(1), 37-53.
Bursa, B., Mailer, M., & Axhausen, K. W. (2022). Travel behavior on vacation: transport mode choice of tourists at destinations. Transportation research part A: policy and practice, 166, 234-261.
Çakmak, E., Lie, R., Selwyn, T., & Leeuwis, C. (2021). Like a fish in water: Habitus adaptation mechanisms of informal tourism entrepreneurs in Thailand. Annals of Tourism Research, 90, 103262.
Choi, S., Maharjan, R., Hong, T. T. N., & Hanaoka, S. (2024). Impact of information provision on tsunami evacuation behavior of residents and international tourists in Japan. Transport Policy, 155, 264-273.
Cook-Price, D. R., Makchai, S., Hasin, S., & Suwanwaree, P. (2024). Amphibian survey of Ko Pha-gnan in Surat Thani Province, Thailand. ZooKeys, 1207, 167.
Dai, J., Chen, H., & Zhang, Z. (2024). How does a historical linguistic landscape influence tourists’ behavioral intention? A mixed-method study. Tourism Management Perspectives, 53, 101294.
de Mello, F. P., & Macario, R. (2024). Tourist Behavior and Awareness in Airline Voluntary Carbon Offset Programs: A Portuguese Perspective. Journal of the Air Transport Research Society, 100042.
Hair, E. C., Park, M. J., Ling, T. J., & Moore, K. A. (2009). Risky behaviors in late adolescence: co-occurrence, predictors, and consequences. Journal of Adolescent Health, 45(3), 253-261.
Huitt, W. (2007). Maslow’s hierarchy of needs. Educational psychology interactive, 23.
Ho, P. T., Ho, M. T., & Huang, M. L. (2024). Understanding the impact of tourist behavior change on travel agencies in developing countries: Strategies for enhancing the tourist experience. Acta Psychologica, 249, 104463.
Khalilzadeh, J., Kozak, M., & Del Chiappa, G. (2024). Tourism motivation: A complex adaptive system. Journal of Destination Marketing & Management, 31, 100861.
Liao, Z., Ren, C., Sun, F., Tao, Y., & Li, W. (2024). EMD-based model with cooperative training mechanism for tourism demand forecasting. Expert Systems with Applications, 244, 122930.
Nazaruddin, D. A. (2020). Granite landforms of Samui Island (southern Thailand) from geoheritage, geoconservation and geotourism perspectives. International Journal of Geoheritage and Parks, 8(2), 75-86.
Pinto, F. S. T., Fogliatto, F. S., & Qannari, E. M. (2014). A method for panelists’ consistency assessment in sensory evaluations based on the Cronbach’s alpha coefficient. Food Quality and Preference, 32, 41-47.
Rejón-Guardia, F., Rialp-Criado, J., & García-Sastre, M. A. (2023). The role of motivations and satisfaction in repeat participation in cycling tourism events. Journal of Outdoor Recreation and Tourism, 43, 100664.
Song, H., Li, G., & Cai, Y. (2022). Tourism forecasting competition in the time of COVID-19: An assessment of ex ante forecasts. Annals of tourism research, 96, 103445.
Stuhldreier, I., Bastian, P., Schönig, E., & Wild, C. (2015). Effects of simulated eutrophication and overfishing on algae and invertebrate settlement in a coral reef of Koh Phangan, Gulf of Thailand. Marine Pollution Bulletin, 92(1-2), 35-44.
Tang, J., Song, B., & Wang, Y. (2023). Fandom in comic-con: Cosplay tourists’ interaction and emotional solidarity. Journal of Hospitality and Tourism Management, 54, 346-356.
Wong, G. K., Ma, A. T., Cheung, L. T., Lo, A. Y., & Jim, C. Y. (2024). Visiting urban green space as a climate-change adaptation strategy: Exploring push factors in a push–pull framework. Climate Risk Management, 43, 100589.
DOI: https://doi.org/10.24294/jipd.v8i12.9553
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